Abstract
Motor related potentials are generated when an individual is engaged in a task involving motor actions. The transient post-synaptical potential could be observed from the recorded electroencephalogram (EEG) signal. Properties derived from time domain and frequency domain such as event-related motor potential and suppression in band power could be useful EEG features. In this report, lateralised motor potential (LMP) and band power ratio (BPR) are used to classify cued left-fingers and right-fingers movements. Two classifiers are employed in this experiment: minimum distance classifier (MDC) and normal density Bayes classifier (NDBC). The results show that the features from LMP has more discriminative power than band power ratio. They also show that NDBC has a perfect performance in this task.
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Phon-Amnuaisuk, S. (2009). Classify Event-Related Motor Potentials of Cued Motor Actions. In: Köppen, M., Kasabov, N., Coghill, G. (eds) Advances in Neuro-Information Processing. ICONIP 2008. Lecture Notes in Computer Science, vol 5506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02490-0_29
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DOI: https://doi.org/10.1007/978-3-642-02490-0_29
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